


'''simple docstring'''






from argparse import ArgumentParser

from . import BaseTransformersCLICommand


def    _snake_case  (	A			)		->       Optional[Any]:
							return DownloadCommand(args.model					,       args.cache_dir					,       args.force					,       args.trust_remote_code			)






class 						a__							(				a__    ):





							'''simple docstring'''






							@staticmethod
							def     __SCREAMING_SNAKE_CASE				(						lowerCamelCase_  )			->				Dict:
														lowerCAmelCase__			  =      parser.add_parser('''download'''  )
														download_parser.add_argument(
														    '''--cache-dir'''   ,       type=lowerCamelCase_   ,       default=lowerCamelCase_   ,       help='''Path to location to store the models'''  )
														download_parser.add_argument(
														    '''--force'''   ,       action='''store_true'''   ,       help='''Force the model to be download even if already in cache-dir'''  )
														download_parser.add_argument(
														    '''--trust-remote-code'''   ,       action='''store_true'''   ,       help='''Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'''   ,       )
														download_parser.add_argument('''model'''   ,       type=lowerCamelCase_   ,       help='''Name of the model to download'''  )
														download_parser.set_defaults(func=lowerCamelCase_  )







							def __init__(						self   ,       lowerCamelCase_   ,       lowerCamelCase_   ,       lowerCamelCase_   ,       lowerCamelCase_  )			->				Optional[int]:
														lowerCAmelCase__			  =      model
														lowerCAmelCase__			  =      cache
														lowerCAmelCase__			  =      force
														lowerCAmelCase__			  =      trust_remote_code







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[Any]:
														from ..models.auto import AutoModel, AutoTokenizer

														AutoModel.from_pretrained(
														    self._model   ,       cache_dir=self._cache   ,       force_download=self._force   ,       trust_remote_code=self._trust_remote_code  )
														AutoTokenizer.from_pretrained(
														    self._model   ,       cache_dir=self._cache   ,       force_download=self._force   ,       trust_remote_code=self._trust_remote_code  )







'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

__lowerCAmelCase        =							TypeVar("T")




class   __SCREAMING_SNAKE_CASE       (Generic[T]       ):


  """simple docstring"""


  def __init__(			self   ,	UpperCamelCase__	):






         """simple docstring"""


         a_						     =			data
         a_						     =			None







  def __str__(			self	):






         """simple docstring"""


         return f'{self.data}'





class   __SCREAMING_SNAKE_CASE       (Generic[T]       ):


  """simple docstring"""


  def __init__(			self	):






         """simple docstring"""


         a_						     =			None







  def __iter__(			self	):






         """simple docstring"""


         a_						     =			self.top
         while node:
                yield node.data
                a_						     =			node.next







  def __str__(			self	):






         """simple docstring"""


         return "->".join([str(UpperCamelCase__	) for item in self]	)







  def __len__(			self	):






         """simple docstring"""


         return len(tuple(iter(self	)	)	)







  def    _a       (			self	):






         """simple docstring"""


         return self.top is None







  def    _a       (			self   ,	UpperCamelCase__	):






         """simple docstring"""


         a_						     =			Node(UpperCamelCase__	)
         if not self.is_empty():
                a_						     =			self.top
         a_						     =			node







  def    _a       (			self	):






         """simple docstring"""


         if self.is_empty():
                raise IndexError('pop from empty stack'	)
         assert isinstance(self.top   ,	UpperCamelCase__	)
         a_						     =			self.top
         a_						     =			self.top.next
         return pop_node.data







  def    _a       (			self	):






         """simple docstring"""


         if self.is_empty():
                raise IndexError('peek from empty stack'	)

         assert self.top is not None
         return self.top.data







  def    _a       (			self	):






         """simple docstring"""


         a_						     =			None


if __name__ == "__main__":
  from doctest import testmod

  testmod()




